# st: error in ML computation GLLAMM

 From Inna Khousnoullina <[email protected]> To [email protected] Subject st: error in ML computation GLLAMM Date Fri, 08 Sep 2006 15:19:50 +0200

```Dear all,

I can't find en error in my computation of a gllamm-model. The same
model provided useful estimation of coefficients and variances for
other dependent variables of my dataset. I don't understand why the
same model does not function with another dependent variable.

lnf38_4 is my depvar, I control for modus (modus==1), intnr is 2-level
and point 3rd-level.

hier my output:

. gllamm lnf38_4 if modus==1, i(intnr point) adapt
(error occurred in ML computation)
(use trace option and check correctness of initial model)

. gllamm lnf38_4 if modus==1, i(intnr point) adapt trace

General model information
-----------------------------------------------------------------------------
dependent variable:         lnf38_4
family:                     gauss
equation for fixed effects  _cons

Random effects information for 3 level model
-----------------------------------------------------------------------------
***level 1 equation:

log standard deviation
lns1: _cons

***level 2 (intnr) equation(s):

standard deviation of random effect
intn: _cons

***level 3 (point) equation(s):

standard deviation of random effect
poin: _cons

number of level 1 units = 2137
number of level 2 units = 416
number of level 3 units = 160

Initial values for fixed effects

Source |       SS       df       MS              Number of obs =
2137
-------------+------------------------------           F(  0,  2136) =
0.00
Model |           0     0           .           Prob > F      =
.
Residual |  4384.96984  2136   2.0528885           R-squared     =
0.0000
0.0000
Total |  4384.96984  2136   2.0528885           Root MSE      =
1.4328

------------------------------------------------------------------------------
__00000C |      Coef.   Std. Err.      t    P>|t|     [95% Conf.
Interval]
-------------+----------------------------------------------------------------
_cons |   1.626379   .0309942    52.47   0.000     1.565597
1.687161
------------------------------------------------------------------------------

start running on  8 Sep 2006 at 15:05:07

Updating posterior means and variances
log-likelihood:
-3638.4556 -3638.4556
------------------------------------------------------------------------------
Iteration 0:
Coefficient vector:
lnf38_4:     lns1:     intn:     poin:
_cons     _cons     _cons     _cons
r1  1.626379  .3596239        .5        .5

overflow at level 1 ( 1 missing values)
Hessian has become unstable or asymmetric (D)
(error occurred in ML computation)
(use trace option and check correctness of initial model)
finish running on  8 Sep 2006 at 15:06:53

I would be thankful for any advice.

Inna Khousnoullina
.

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```